Inspiration
Meetings are essential for collaboration, but the follow-up is often where things fall apart. Important decisions get forgotten, action items slip through the cracks, and hours are wasted trying to recall what was discussed. We built MeetMind to solve this by turning every meeting into actionable insights automatically.
What it does
MeetMind is an AI-powered meeting assistant that transforms the meeting experience:
- Records meetings with pause/resume controls and real-time waveform visualization
- Transcribes audio using OpenAI Whisper for accurate speech-to-text conversion
- Generates smart summaries with key points and decisions using GPT-4
- Extracts action items automatically with priority levels and assignee suggestions
- Exports to PDF/Markdown for easy sharing and archiving
- Searchable meeting history to quickly find past discussions
How we built it
MeetMind was built using a modern full-stack architecture:
- Backend: Python FastAPI with PostgreSQL database for robust, scalable API endpoints
- Frontend: Vanilla JavaScript with modern CSS and Web Audio API for waveform visualization
- AI Integration: OpenAI via Replit AI Integrations (Whisper for transcription, GPT-4 for summarization)
- Authentication: JWT-based secure user authentication system
Challenges we ran into
Building MeetMind presented several technical hurdles:
- Handling audio recording across different browsers with the MediaRecorder API and ensuring consistent behavior
- Ensuring real-time waveform visualization while maintaining performance, especially for longer meetings
- Structuring AI prompts to reliably extract action items in a consistent JSON format that our application could parse
Accomplishments that we're proud of
We achieved several milestones that demonstrate the power of MeetMind:
- Full end-to-end AI pipeline from audio capture to actionable insights without manual intervention
- Clean, responsive dark-theme UI that works seamlessly on both desktop and mobile devices
- Real-time visual feedback during recording with smooth audio waveforms that enhance user experience
What we learned
This project taught us valuable lessons about modern web development and AI integration:
- How to integrate OpenAI's audio and chat APIs effectively for production use
- Browser audio APIs for recording and visualization, including their quirks and limitations
- The critical importance of robust error handling for AI services, especially for handling API failures gracefully
What's next for MeetMind
We have exciting features planned for future releases:
- Real-time transcription during meetings for live captions and instant searchability
- Calendar integration for automatic meeting scheduling and pre-meeting reminders
- Team collaboration features with shared workspaces and role-based permissions
- Mobile app version for iOS and Android to capture meetings on the go
Built With
- css
- fastapi
- gpt-4
- html
- javascript
- openai-whisper
- postgresql
- python
- sqlalchemy
- web-audio-api

Log in or sign up for Devpost to join the conversation.